Short Course on Performance Evaluation of AI-based MDSW
In a fast-evolving world of AI-driven healthcare, the ability to distinguish a well-evaluated model from a poorly assessed one is important. This hands-on course will not only teach you the fundamentals but will also explore the latest techniques that ensure reliable and fair evaluations of medical AI models. Learn how to navigate common challenges and avoid pitfalls that could compromise your assessments.
Here’s a glimpse into what awaits you in our upcoming modules:
Module 1 – Introduction to the Course and the Regulatory Background
Module 2 – Introduction to AI
Module 3 – AI Evaluation and Model Performance Metrics
Module 4 – Introduction to Statistics
Module 5 – Introduction to Advanced Model Evaluation Topics
What You Will Learn:
Smart Metric Selection: Discover how to choose the right performance metrics and avoid their misuse.
Confidence Intervals & Sample Sizes: Master statistical essentials for robust model evaluations.
AI Regulation in Europe: Understand the regulatory framework surrounding AI-based medical devices.
Advanced Topics: Dive deep into model bias, fairness, explainability, monitoring, and robustness evaluation.
Who Should Attend:
This course is perfect for notified body assessors, health technology assessors, and those from medical AI companies. No prior knowledge is required – just an eagerness to improve your expertise in medical AI performance evaluation.